Intensive Social Media Weeks

The course includes lectures on the analysis of social media, a short introduction to natural language processing (nlp) and to Linked Data. Lectures on nlp allow to master basic skills of natural language processing needed to work with texts from social media. Introduction lectures and workshops on Linked Data will expand the basic experiment conducted in groups, and allow to improve the algorithms used by using additional knowledge bases.

At the workshops participants are introduced to core libraries of data processing needed for a baseline study on the basis ofprepared collections in a short time.

Participants are invited to listen to the course unit lectures, visit master classes and perform some research in groups with other participants.




Lecturers and instructors

Special guest:

Jari Veijalainen

Prof. Dr.-Ing. Jari Veijalainen is with Computer Science and Information Systems Department of the University of Jyväskylä since 1996. Prof. Veijalainen received his Dr.-Ing. degree in Computer Science (Informatik) from the Technical University of Berlin in 1989, and B.Sc. and M.Sc. degrees in Computer Science from the University of Helsinki in 1978 and 1983, respectively. In 1985-1988, 1992, 2000-2001, 2005-2006 he worked in Germany (GMD-FOKUS, -IPSI, -FIT, Univ. of Potsdam). In 1989-1996 as a senior research scientist at the Technical Research Centre of Finland (VTT). In 2003 he spent six months at Waseda University, Tokyo, as a visiting professor. His research focuses on database systems, advanced transaction management, mobile security and privacy, social network analysis, and formal modelling. He has published ca 80 papers in peer-reviewed conferences and journals and taken part in tens of program committees of various conferences, including VLDB, IEEE ICDE, AINA, MDM, WEBIST, etc. He is currently a member of the editorial board in two international peer-reviewed journals.



Pavel Braslavski

Dr. Pavel Braslavski is a senior researcher at Ural Federal University (Yekaterinburg, Russia). His other affiliations include head of Konur Labs (an applied research subdivision of SKB Kontur company) and CEO of Velpas (a mobile visual search startup). 2007-2012 Pavel served as head of Yandex branch office in Yekaterinburg. His research interests include various topics in information retrieval, social media analysis, and natural language processing. Homepage: http://kansas.ru/pb/index_en.html

 

 

 

Dmitry Granovsky

Dmitry Granovsky graduated in applied linguistics from Saint-Petersburg State University in 2009. Since then he has been a developer at Yandex. Dmitry's research interests include natural language processing, corpus linguistics and open data; in 2009 he co-founded OpenCorpora.org, which is an ongoing project in crowdsourcing open linguistic data.

 

 

 

Olessia Koltsova

Olessia Koltsova is the director of the Laboratory for Internet Studies at Higher School of Economics, St.Petersburg, Russia (http://linis.hse.ru). She holds a PhD in sociology and promotes interdisciplinary research aimed at applying big internet data analysis to social science research. She publishes in this sphere in co-authorship with computer scientists, mathematicians, political scientists and linguists.

 

 

Fedor Kozlov

Fedor Kozlov is a Ph.D student and junior research fellow at the Laboratory of Information Science and Semantic Technologies at ITMO University (St.Petersburg, Russia).  His research interests are focused on Semantic Web technologies, Linked Data and Linked Learning. Fedor is a co-founder of the ECOLE eLearning System, which uses linked data from different resources to aggregate learning materials in the one educational environment. He co-authored international publications in sphere of Linked Learning and Semantic Publishing.

 

Alexander Nikolaev

Dr. Nikolaev's mathematical training and research expertise is in social network analysis, stochastic optimization, and statistical inference. His recent projects have focused on causal inference with observational network data, evaluation of reach and effectiveness of programs/policies in communities of connected individuals, and optimization for social influence. Dr. Nikolaev's work in data-intensive social network analysis was recognized with the US National Science Foundation award for “Discovering Fundamental Structural and Behavioral Laws of Social Networks”. Dr. Nikolaev has publications in a number of prestigious journals, including Operations Research, Social Networks, Transportation Science and OMEGA, and has multiple ongoing projects in the area of his career interest. These include social network extraction from fused data, community detection, fast parallel computation of social network metrics, prediction of friendship dynamics, quantifying the effects of incomplete information in networks, team formation and optimal referral program planning.

 

Alexander Semenov

Dr. Alexander Semenov is a postdoctoral researcher in the department of Computer Science and Information Systems, University of Jyvaskyla, Finland. In 2008 A. Semenov got a degree in electrical engineering from Saint Petersburg State Electrotechnical University. In 2013 he has defended PhD thesis in computer science, entitled "Principles of social media monitoring and analysis software", in the University of Jyvaskyla. In summer 2013 Dr. Semenov was appointed as a visiting scholar in the University at Buffalo, NY, USA; and in 2014 he was a visiting scholar in the University of Memphis, TN, USA. Dr. Semenov has worked in research projects in area of social media analysis, and transportation optimization. His main research interests are social network analysis, and software for it, databases, and information security. To date, Dr. Semenov has coauthored more than 15 international scientific publications.

 

Alexander Semenov

Alexander Semenov is a junior research fellow at the International Laboratory for Applied Network Analysis at International Research University Higher School of Economics. He has been doing research in Social Network Analysis since 2007. Key area of interest includes online social networks, the blogosphere, online communities and other forms of Social Media. This area has the experience of participation in international research projects, university teaching, work and counseling for government agencies, major Russian and international companies. Homepage: http://jarens.ru

 

Dmitry Ustalov
Dmitry Ustalov is a Ph.D. student at IMM UB RAS (Yekaterinburg, Russia) and a teaching assistant at the Ural Federal University. He is also the founder of NLPub, a community for Russian linguistic resources. Dmitry's research interests are focused on natural language processing, distributed computing, and the Semantic Web. More information is available on https://ustalov.name/en/